Verified Job
IT / Software / Data Analyst
Lead Gen AI Full Stack Engineer – eCommerce
IT / Software / Data Analyst
#54556
Remote / WFH
McAfee
Job Description
Join our eCommerce Team as a Lead Gen AI Full Stack, owning the full stack end-to-end to design and ship production GenAI products on AWS that transform how engineering, operations, and business teams work —while improving eCommerce products and user experience for millions of customers. Building intelligent, real-time experiences by engineering the full stack modern UIs, high-through put backend services, RAG systems and autonomous AI agents — on AWS with Claude, Bedrock and the modern LLM ecosystem. Success requires rapidly understanding complex distributed systems, debugging across the stack and shipping from prototype to production.
This is a Hybrid position located at our Bangalore, India development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time.
Job Description:
About The Role:
• Collaborate with business and engineering stakeholders to translate requirements into technical specifications and execute end-to-end delivery.
• Engineer the full stack: modern frontends and backend services for our eCommerce platform serving millions of customers, leveraging databases to deliver scalable, high-performance experiences.
• Work closely with senior leadership to drive architecture decisions and technical direction for GenAI initiatives — developing solutions that improve organizational productivity and customer experience.
• Design and ship production LLM products — conversational chatbots, AI summarization, operational copilots powered by RAG pipelines (vector search, reranking), and autonomous AI agents with tool orchestration and safety guardrails.
About You
• 8 to 12 years of full-stack engineering with proven product ownership and large-scale production experience; 2+years shipping production LLM applications with measurable business impact (eCommerce domain experience is a plus).
• Expert across modern full-stack: TypeScript, Node.js (NestJS), React 18, Next.js, Python (FastAPI), SQL/NoSQL databases, and big data ecosystem (Spark, Hadoop, Kafka, data lakes).
• Strong cloud and infrastructure experience: distributed systems (microservices, event-driven architecture, API design), cloud-native AWS delivery with hands-on experience in Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, S3, CloudWatch, SQS/SNS, and CI/CD pipelines.
• Deep GenAI experience: Claude, OpenAI, AWS Bedrock, LangGraph, RAG systems (vector search and reranking), prompt engineering, and evaluation — with hands-on use of AI coding tools (Claude Code, Cursor, GitHub Copilot) to ship at high velocity.
• Strong observability expertise — uses metrics, logs, and traces to understand complex distributed systems, identify bottlenecks, surface insights, and resolve production issues across the full stack.
#LI-Hybrid
Accommodations:
McAfee recognizes and supports its obligation to reasonably accommodate applicants and employees with disabilities. We are here to help. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring, or at any other time during the employment process. Please do not include personal medical information in the email.
Diversity is foundational for our business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. McAfee does not unlawfully discriminate on the basis of race, color, religion, sex, ****** orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs.
This is a Hybrid position located at our Bangalore, India development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time.
Job Description:
About The Role:
• Collaborate with business and engineering stakeholders to translate requirements into technical specifications and execute end-to-end delivery.
• Engineer the full stack: modern frontends and backend services for our eCommerce platform serving millions of customers, leveraging databases to deliver scalable, high-performance experiences.
• Work closely with senior leadership to drive architecture decisions and technical direction for GenAI initiatives — developing solutions that improve organizational productivity and customer experience.
• Design and ship production LLM products — conversational chatbots, AI summarization, operational copilots powered by RAG pipelines (vector search, reranking), and autonomous AI agents with tool orchestration and safety guardrails.
About You
• 8 to 12 years of full-stack engineering with proven product ownership and large-scale production experience; 2+years shipping production LLM applications with measurable business impact (eCommerce domain experience is a plus).
• Expert across modern full-stack: TypeScript, Node.js (NestJS), React 18, Next.js, Python (FastAPI), SQL/NoSQL databases, and big data ecosystem (Spark, Hadoop, Kafka, data lakes).
• Strong cloud and infrastructure experience: distributed systems (microservices, event-driven architecture, API design), cloud-native AWS delivery with hands-on experience in Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, S3, CloudWatch, SQS/SNS, and CI/CD pipelines.
• Deep GenAI experience: Claude, OpenAI, AWS Bedrock, LangGraph, RAG systems (vector search and reranking), prompt engineering, and evaluation — with hands-on use of AI coding tools (Claude Code, Cursor, GitHub Copilot) to ship at high velocity.
• Strong observability expertise — uses metrics, logs, and traces to understand complex distributed systems, identify bottlenecks, surface insights, and resolve production issues across the full stack.
#LI-Hybrid
Accommodations:
McAfee recognizes and supports its obligation to reasonably accommodate applicants and employees with disabilities. We are here to help. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring, or at any other time during the employment process. Please do not include personal medical information in the email.
Diversity is foundational for our business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. McAfee does not unlawfully discriminate on the basis of race, color, religion, sex, ****** orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs.
